Update app.py

app.py

@@ -10,7 +10,7 @@ def predict(img):
     img = PILImage.create(img) # read images 
     pred,pred_idx,probs = learn.predict(img) ### get pred , pred_index and prob for a a given image 
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
-    title = " Car type  Classifier"
+title = " Car type  Classifier"
 description = "A car classifier trained using <a href='https://www.kaggle.com/datasets/jutrera/stanford-car-dataset-by-classes-folder'> the  Oxford car dataset </a>  with fastai. Created as a demo for Gradio and HuggingFace Spaces."
 article="<p style='text-align: center'><a href='https://aniba' target='_blank'> github code</a></p>"
 examples=["2009_bugatti_veyron_grand_sport_10.jpg", "07-x5-bmw.jpg"]